Genetic Algorithm-Based Rules Discovery for Networked Manufacturing Resources Management

Abstract

To choose and manage networked manufacturing resources efficiently, a fuzzy association rules mining technique was proposed. According to the analysis of all data types, a specialized data preprocessing method was applied to extract, wash and transform networked manufacturing resources data, and a self-contained data warehouse on networked manufacturing resources was established for data preprocessing. To deal with the fuzzy association rules mining on manufacturing resources platform, a novel genetic algorithm (GA) based mining method was introduced. Considering the characteristics of networked manufacturing resources, double-level encoding and label-bit switching operator were designed to make the improved GA available to networked manufacturing resources. Finally, a case was employed to demonstrate the practicality of applying fuzzy association rules mining based on GA in networked manufacturing resources management.